Data

overview

##        x                y          LOCAL_DATE        TOTAL_PRECIPITATION
##  Min.   :-122.7   Min.   :50.70   Length:37538       Min.   : 0.000     
##  1st Qu.:-122.7   1st Qu.:53.88   Class :character   1st Qu.: 0.000     
##  Median :-122.7   Median :53.89   Mode  :character   Median : 0.000     
##  Mean   :-122.2   Mean   :53.21                      Mean   : 1.411     
##  3rd Qu.:-122.7   3rd Qu.:53.89                      3rd Qu.: 1.200     
##  Max.   :-120.4   Max.   :53.89                      Max.   :50.000     
##                                                      NA's   :423        
##  MAX_TEMPERATURE  MIN_TEMPERATURE      TOTAL_RAIN    MIN_REL_HUMIDITY
##  Min.   :-36.90   Min.   :-50.0000   Min.   : 0.00   Min.   : 10.00  
##  1st Qu.:  2.80   1st Qu.: -5.0000   1st Qu.: 0.00   1st Qu.: 33.00  
##  Median : 11.10   Median :  0.4000   Median : 0.00   Median : 48.00  
##  Mean   : 10.68   Mean   : -0.5945   Mean   : 0.99   Mean   : 49.78  
##  3rd Qu.: 19.40   3rd Qu.:  6.4000   3rd Qu.: 0.30   3rd Qu.: 66.00  
##  Max.   : 47.30   Max.   : 25.7000   Max.   :50.00   Max.   :100.00  
##  NA's   :164      NA's   :150        NA's   :5239    NA's   :25185
##                   x                   y          LOCAL_DATE TOTAL_PRECIPITATION 
##                   0                   0                   0                 423 
##     MAX_TEMPERATURE     MIN_TEMPERATURE          TOTAL_RAIN    MIN_REL_HUMIDITY 
##                 164                 150                5239               25185

check wrangling data

check temp dist for in a random day from all year value

##    [1]   6.7   7.8  12.2   7.8   5.0   5.6   4.4   3.9   4.4   5.0   7.8   8.9
##   [13]   8.9   6.1   9.4   3.9   1.7  -3.9  -2.8  -1.1  -0.6   5.6  10.6  12.8
##   [25]  10.6   8.9  11.7  15.0  15.6  12.2   5.0   7.8   4.4   6.1   7.2   8.3
##   [37]   4.4   6.1   6.7   5.0   6.1   7.2   4.4   6.7   6.7   8.3   8.3   6.7
##   [49]   7.8   8.3   1.1   2.8   6.7   6.1   6.7  10.0   8.3   7.2   2.8   5.0
##   [61]   8.9   6.7   8.3   8.9   8.3   7.8  11.7  12.2  13.9  10.0  10.0   5.0
##   [73]   5.6  -2.2  -1.1   1.7   1.1   1.7   4.4   7.2   3.9   3.9   8.9   6.1
##   [85]   4.4   7.2   1.7  -2.8  -4.4  -0.6   3.9   5.0   7.8   6.7   4.4   5.0
##   [97]   3.3   3.9   3.9   6.1   7.2   6.1   7.8   8.9  11.7   6.7   7.8  13.9
##  [109]   8.9   8.9   8.9   7.2   4.4   3.9   4.4   3.3   5.0   6.1   5.0   5.0
##  [121]   4.4   1.7   7.8   5.6   9.4   4.4   5.0   7.2   6.1   7.2   9.4  13.3
##  [133]  13.9   8.3   8.3   5.0   1.7   5.6   6.1   7.2   7.2   9.4   7.8   2.2
##  [145]   3.3   2.8   4.4   5.6   2.8  10.0   4.4   5.6   5.0  11.1   5.0   7.2
##  [157]   9.4   6.1   5.6   3.9   5.6   6.1   8.3   7.2   8.3   6.7   8.9   3.3
##  [169]   5.6  -1.1  -4.4  -5.0   0.6   4.4   2.8   1.7 -10.0  -6.7  -5.0   1.7
##  [181]  -3.9  -7.8 -16.7 -11.1  -3.3   4.4   5.0   9.4   9.4   7.8   7.8   3.3
##  [193]   6.1   5.0   6.7   5.6   8.3   6.1   4.4   6.1   2.8   5.6   5.6   7.8
##  [205]   3.9   4.4   6.7   8.9   7.8   1.7   1.7   4.4   5.0   3.9   3.9   2.8
##  [217]   5.6   8.3   6.1   8.3   5.6   8.9   8.9   6.7   5.6  -6.7  -1.7   3.3
##  [229]   5.6   5.6   9.4  10.0   6.7   8.9   9.4   7.8   8.9   8.3  11.1  11.1
##  [241]   7.8   3.9   5.0   8.3   5.6  10.0   6.1   6.7   6.1   7.8  11.1   8.3
##  [253]   8.9   6.1   6.7  10.0   9.4  10.6  10.0  15.0   6.1   8.3   0.6   6.1
##  [265]   7.2   7.8   7.8  12.2  11.1  18.3   6.7   2.8   8.9   8.9  10.0   9.4
##  [277]  12.2   8.3  10.0  11.7  13.3  14.4  12.2   5.0   2.8   2.2  -0.6   5.0
##  [289]   6.7   7.8   7.2   6.7   7.2  11.1  14.4  13.9  15.0  14.4  16.1  11.7
##  [301]   0.6   5.0   5.6   5.6   6.1   9.4   9.4   5.6   0.6  -3.9  -1.7   5.0
##  [313]   7.8   7.8   8.3  -4.4  -9.4  -8.3  -6.7  -1.1   1.7   4.4  10.0  13.9
##  [325]  13.3  13.9   6.7   8.9   8.3   6.1   2.8  -1.7  -5.0  -5.0  -6.7  -5.6
##  [337]  -7.2  -3.3  -1.1   4.4  10.6   6.7   7.8  10.0   8.9   1.1   1.7   8.3
##  [349]   6.7  11.7  12.8  10.0  13.3  15.0   9.4   6.7   9.4  10.0  11.7  16.1
##  [361]   4.4   7.2  10.0   2.8   2.8   0.6   5.0   4.4   3.3   1.7   2.8   6.7
##  [373]  11.7   9.4   6.7  10.6  14.4   9.4   8.3   5.6   7.8   6.7   5.0   5.0
##  [385]   5.6   5.0   5.6   6.1   9.4  11.1   6.7   3.3   6.7   7.2   8.3  11.1
##  [397]   8.9   8.9  10.0  13.3  11.1  10.6   7.2   7.2  13.3   4.4   6.1   8.9
##  [409]   8.9   4.4   7.8  10.6   7.2   8.9   9.4   8.9   6.7   8.3   8.3  11.1
##  [421]  -2.8   0.0  -1.1  -2.2  -1.1   2.8   4.4   6.7   5.6   3.3   4.4   6.7
##  [433]   7.2   7.2  10.6   7.2   7.8   7.8   5.6   8.3   8.9   7.2   8.9  10.0
##  [445]  12.2  14.4   4.4  -0.6   3.3  12.8   6.7   6.1   7.8  12.8   5.6   6.7
##  [457]   3.9   8.9   8.9   7.8   9.4   8.9  10.6   9.4   5.6   1.7   3.3   6.1
##  [469]   9.4   3.3   1.7   9.4   7.8  11.7  11.7   9.4   8.9   6.1   8.3   7.8
##  [481]   3.9   6.1   2.2   0.6  -1.7   0.6   2.8   1.1  10.0   6.7   2.2   3.9
##  [493]   3.9   0.0   2.8   6.7   6.7   5.6   4.4   6.1   5.6   5.0   4.4   5.6
##  [505]   6.1   3.3   4.4   7.2   9.4   9.4   3.8   4.6   2.9   4.7   0.1   2.2
##  [517]   3.1   5.1   5.7   5.6   7.4   5.8   5.4  16.3  18.7   7.2   7.9   7.4
##  [529]   6.6  11.9   5.7   9.5   7.8  11.3   7.4   8.2   9.1  10.1  11.9  13.6
##  [541]  12.1  12.0  16.0  10.1   1.5   0.6   2.3   1.6  -1.4   2.0  -0.2   3.0
##  [553]   2.9   5.1   3.2   4.5   4.8   5.6   6.1   6.1   5.6   7.3   5.7   4.6
##  [565]   7.7   6.9   9.3  11.2  13.7  13.2   5.4   6.5  10.0  11.2   8.6   9.9
##  [577]   8.7  11.6  10.2   8.1   8.6   7.2   4.5   5.8   5.5   8.5  10.9   6.4
##  [589]   5.7  11.2   3.3   4.7   4.9   5.2   4.5   2.1  -4.0   2.8   1.6   0.6
##  [601]   0.4   2.0   1.7   3.6   8.9  12.6  10.1  10.0   8.9   8.6  10.7   7.8
##  [613]  11.0  10.8  13.8   7.5   6.4   9.2   8.9   4.0   8.9  10.0   9.0   9.9
##  [625]  13.5  12.7  14.0  13.8   8.5   8.9   5.6   1.9   5.4   5.5   4.6   5.8
##  [637]   6.6   6.7   3.5   5.6   8.5   8.2   7.2   2.4   2.9  11.9   8.5   9.7
##  [649]   5.6   8.4  10.7  10.3   8.6   4.1   6.8   2.3   8.0  10.2  11.3  10.3
##  [661]   7.7  10.0  11.4  10.5   6.7   6.3   0.4   4.5  13.7  13.3  10.3  16.2
##  [673]  20.3  16.2  12.6   6.8   6.6   8.4   7.2   4.2   3.5   2.1   3.3   4.9
##  [685]   4.1   9.3   7.6   6.6  10.2   6.7   5.4   7.5   5.6   7.1   7.4   8.5
##  [697]   7.2   7.1   8.3   7.8   7.9   6.1   7.5   7.2   6.7  -1.9  -3.3   0.4
##  [709]   4.1   8.5  10.0   9.8  13.3  11.5   8.9   9.2  13.5  10.7   9.4  12.5
##  [721]   8.0   2.0   2.6   0.5   0.8   4.2  10.3   8.5   8.5   9.6  14.8  10.3
##  [733]   7.2   9.9   9.2  15.1  14.8   8.4   9.8  14.6  12.5   4.9   5.1   7.3
##  [745]  10.7  11.3  18.6  21.5   9.6   8.9  12.8  12.6   8.6   7.3   5.8   5.9
##  [757]   8.1   7.3   9.9  10.7  10.0  14.0   9.3   9.7   8.6   7.1   2.3   5.8
##  [769]   8.7  12.3  12.8  16.9  13.9  16.6  18.3  15.0  15.1  13.1  12.2   4.6
##  [781]   8.7   5.4   4.9   1.9   6.6  10.3  12.7  13.0  13.8  18.9  15.3  10.7
##  [793]   6.6  13.5   9.0  -2.1  -3.9  -3.0   0.4   6.3   2.6   2.1   2.2   0.1
##  [805]  -1.0  -0.3   5.9   3.3   7.6  10.2   4.5   4.0   6.0   4.0   8.5   6.4
##  [817]   6.2   8.2   8.0   7.3   4.7   6.4   7.8   4.1   5.3  11.9   8.8   7.2
##  [829]   7.9   8.4   6.1   5.8   6.6   4.5   7.8   8.0   9.1   9.2   9.2  10.8
##  [841]  16.7  11.5  10.0  13.0   8.4   6.2   4.2   5.4   6.2   7.5   5.5  10.1
##  [853]   6.6   4.4   4.7   9.5   2.8   6.9   7.3   7.6   7.4   9.5   5.3   8.9
##  [865]   9.6   7.7  10.9  10.6   9.8   7.3  -0.7   0.6  -1.9   7.5  14.6   6.3
##  [877]   3.5   6.5   2.1   6.2   6.8   4.7   6.0  10.6  10.5  -2.2   3.6   5.4
##  [889]   6.5   7.6   7.5   2.8   4.3   0.6   2.4   4.1  -3.1   0.5   1.8   2.3
##  [901]   9.1  10.6   5.4   5.0   6.7   8.1   8.8   9.3   7.9  12.5  10.2   1.5
##  [913]   0.5   1.6   2.6   5.5   8.9  10.7   8.5  10.5   6.8  10.9  13.3  17.8
##  [925]  15.5   7.3   9.8  14.9  18.8  13.4  -1.4   0.2   2.0   5.3   7.7   8.8
##  [937]  11.2   7.5   8.0   8.4  10.3   6.9   8.8   9.3   9.2   8.7  11.3  12.8
##  [949]  10.4   6.6   5.2   7.8   7.8   8.8   9.0  10.6  11.1  12.4  12.8  14.6
##  [961]   0.4   4.4   8.3   4.8   7.9   8.1   5.2   7.2  12.3   8.6   0.2  -1.9
##  [973]  -5.0  -2.5   5.2   4.4   6.8   5.9   5.2   6.0   4.1   3.6   3.7   1.9
##  [985]   2.6   3.3   1.9   5.2   5.9   6.2   5.7   6.4   6.6   4.2   2.6   4.5
##  [997]   4.8   2.8   3.5   2.7   4.6   2.0   2.8   3.5   7.2   8.1   4.3   8.2
## [1009]   9.1   8.1   8.5   9.1   9.7  13.8  12.8  11.7  14.2  14.4  13.2  14.4
## [1021]  15.6  14.5  15.5  13.7   7.3  11.6  23.0  18.2  19.7  20.4  11.9  12.6
## [1033]  14.0  12.8  13.1  17.2  15.3  13.4  14.2  13.2  16.0  10.2  15.5  17.5
## [1045]  21.8  22.5  23.1  22.9  21.1  14.6  10.1  14.0   9.2  10.7  14.2   9.9
## [1057]  14.7  14.7  11.5  13.9  14.9  15.3  11.5  12.8  14.9  14.8  13.7   8.6
## [1069]   9.9   9.8   9.8  17.4  13.7  10.5  14.2   8.5   6.9   7.3  10.7  12.5
## [1081]    NA  18.8  18.2  15.6  13.6  14.3    NA  16.9  18.1  17.3  18.9  17.8
## [1093]  18.7   9.9  18.4  15.2  10.8  11.0  10.3   9.6  11.3  13.7  12.7  14.8
## [1105]  12.9   6.9   4.1   6.6   3.9   5.3   9.1  11.9  10.6  12.5    NA   9.3
## [1117]  15.2  14.9   6.8    NA  15.2  18.7  15.1  18.0  10.8  14.8  11.6  20.0
## [1129]  12.5  15.2  14.2  10.9  15.0  17.6  11.0    NA  14.1  15.2  17.1  13.9
## [1141]  15.1  15.8  13.5  10.1  11.0  12.5  12.1  13.0  13.2  16.1   9.3  10.9
## [1153]   9.9  10.6  12.4  14.8  11.7    NA  15.4  16.5  12.2  10.2  14.5  12.5
## [1165]  11.1  14.3  21.6  22.0  13.8  11.0   9.1    NA    NA    NA    NA  12.2
## [1177]   9.2  12.3  10.4   9.1   8.0   7.2   6.5   8.6   8.7   1.0   4.6   4.6
## [1189]   6.8   7.6   7.8   9.3   8.9   8.3   9.2   8.4   6.4   7.4   7.3   9.3
## [1201]   4.4   5.2   5.9   5.9   7.0   9.8  10.0   9.5   8.5   5.5   4.9   6.9
## [1213]   9.7   7.4   5.2   1.4  -0.6   1.0   5.3   8.8   8.2   9.1  10.8   9.7
## [1225]  11.1  10.9  12.2   9.4   7.3   9.7  -1.8  -1.1  -0.7   0.0   2.1  -1.4
## [1237]  -1.3   3.7   1.8   1.4   2.3   6.2   6.9   5.8   3.8   2.7   7.1   5.6
## [1249]   9.9   6.4   8.7   8.6  10.8  12.8   7.3   8.6   8.9   8.2   9.4   5.9
## [1261]   5.1   6.3   6.8   8.4  10.2  11.2   9.0   9.8  16.1  16.6  19.9  20.8
## [1273]  14.9  14.6  11.1  15.7  14.5   8.8  10.1   8.7   3.3   8.0   9.7  11.2
## [1285]  11.7  11.4  10.8  11.6  11.9  10.7   6.8   3.0   1.8  -0.2   4.5   1.1
## [1297]   4.0   3.9   4.2  -3.4  -7.4  -4.0  -4.7  -4.5  -0.6   3.5   5.1   3.2
## [1309]   4.7   4.5   5.4   7.1   6.2   2.6   5.3   7.8   7.4   6.4   6.2   8.1
## [1321]  11.7  11.2    NA   8.0   8.2   3.2   6.6  10.4  13.1  10.0   7.2   4.9
## [1333]   8.9   8.0   5.6  10.1   9.8   9.4   7.1   7.0   4.8   3.2   5.6   7.4
## [1345]   8.7   4.6   5.9   5.7   4.4   4.9   7.1   7.7   6.8  10.8  13.0  12.2
## [1357]   9.8   3.2   6.4   6.9  12.0  13.2  15.2   8.1   8.2   8.1   4.3   8.2
## [1369]   9.1   8.1   8.5   9.1   9.7  13.8  12.8  11.7  14.2  14.4  13.2  14.4
## [1381]  15.6  14.5  15.5  13.7   7.3  11.6  23.0  18.2  19.7  20.4  11.9  12.6
## [1393]  14.0  12.8  13.1  17.2  15.3  13.4  14.2  13.2  16.0  10.2  15.5  17.5
## [1405]  21.8  22.5  23.1  22.9  21.1  14.6  10.1  14.0   9.2  10.7  14.2   9.9
## [1417]  14.7  14.7  11.5  13.9  14.9  15.3  11.5  12.8  14.9  14.8  13.7   8.6
## [1429]   9.9   9.8   9.8  17.4  13.7  10.5  14.2   8.5   6.9   7.3  10.7  12.5
## [1441]    NA  18.8  18.2  15.6  13.6  14.3    NA  16.9  18.1  17.3  18.9  17.8
## [1453]  18.7   9.9  18.4  15.2  10.8  11.0  10.3   9.6  11.3  13.7  12.7  14.8
## [1465]  12.9   6.9   4.1   6.6   3.9   5.3   9.1  11.9  10.6  12.5    NA   9.3
## [1477]  15.2  14.9   6.8    NA  15.2  18.7  15.1  18.0  10.8  14.8  11.6  20.0
## [1489]  12.5  15.2  14.2  10.9  15.0  17.6  11.0    NA  14.1  15.2  17.1  13.9
## [1501]  15.1  15.8  13.5  10.1  11.0  12.5  12.1  13.0  13.2  16.1   9.3  10.9
## [1513]   9.9  10.6  12.4  14.8  11.7    NA  15.4  16.5  12.2  10.2  14.5  12.5
## [1525]  11.1  14.3  21.6  22.0  13.8  11.0
## [1] 1530

get 90th from the all year for all day value

##   [1]  4.40  4.10  4.30  4.36  4.40  4.50  4.78  4.80  4.80  4.80  5.00  5.00
##  [13]  5.00  4.90  5.00  5.00  5.20  5.18  5.17  5.30  5.30  5.32  5.50  5.70
##  [25]  5.80  5.80  5.90  5.90  6.10  6.30  6.42  6.50  6.51  6.70  6.50  6.50
##  [37]  6.50  6.50  6.50  6.66  6.50  6.50  6.70  6.90  7.00  7.10  7.16  7.20
##  [49]  7.30  7.50  7.50  7.50  7.80  7.87  8.00  8.30  8.31  8.70  8.90 10.16
##  [61]  8.90  9.10  9.17  9.57 10.00 10.40 10.70 10.90 11.18 11.50 11.80 12.20
##  [73] 12.40 12.80 12.90 13.14 13.30 13.40 13.40 13.50 13.70 13.90 14.10 14.25
##  [85] 14.45 14.50 14.60 14.60 14.60 14.70 14.91 15.20 15.60 15.90 16.10 16.10
##  [97] 16.10 16.20 16.40 16.60 16.70 17.00 17.20 17.70 18.10 18.10 18.20 18.20
## [109] 18.40 18.90 19.10 19.40 19.50 19.70 20.30 20.40 20.60 20.95 21.10 21.50
## [121] 21.70 22.20 22.40 22.90 23.28 23.50 23.90 24.10 24.36 24.60 24.60 24.76
## [133] 25.00 25.28 25.50 25.64 25.90 25.90 25.90 25.90 26.10 26.20 26.28 26.23
## [145] 26.30 26.50 26.70 26.70 26.73 26.80 27.20 27.20 27.40 27.50 27.50 27.40
## [157] 27.20 27.10 27.01 27.20 27.20 27.30 27.40 27.40 27.80 27.80 27.65 27.80
## [169] 27.80 28.06 28.30 28.53 28.80 29.10 29.40 29.63 29.88 30.02 30.17 30.28
## [181] 30.40 30.60 31.00 31.10 31.00 31.00 31.10 31.20 31.20 31.10 31.10 31.10
## [193] 31.20 31.40 31.50 31.52 31.60 31.52 31.50 31.70 31.90 32.00 32.20 32.30
## [205] 32.30 32.50 32.76 32.89 32.80 32.74 32.80 32.80 32.80 32.90 33.10 33.00
## [217] 33.00 32.92 32.20 32.44 32.20 32.20 32.10 32.12 31.78 31.50 31.50 31.20
## [229] 31.20 30.81 30.40 30.40 30.20 30.06 29.90 29.70 29.50 29.12 28.90 28.90
## [241] 28.36 28.40 28.40 28.30 27.90 27.90 27.87 27.60 27.30 27.00 26.90 26.70
## [253] 26.70 26.10 25.80 25.60 25.50 25.00 24.87 24.50 24.40 24.10 23.90 23.70
## [265] 23.30 23.30 22.90 22.80 22.70 22.76 22.60 22.40 22.20 21.90 21.60 21.10
## [277] 20.50 20.20 19.86 19.51 19.40 19.10 18.90 18.70 18.50 18.30 18.19 17.80
## [289] 17.33 17.10 16.80 16.60 16.30 16.10 15.80 15.60 15.30 15.14 14.60 14.40
## [301] 14.00 13.70 13.50 13.30 12.81 12.29 12.00 11.70 11.50 11.10 10.70 10.50
## [313] 10.23 10.00  9.80  9.70  9.40  9.10  8.80  8.40  8.30  8.10  7.82  7.70
## [325]  7.50  7.30  7.20  7.20  7.20  7.10  7.00  6.70  6.70  6.36  6.10  6.10
## [337]  5.71  5.60  5.60  5.40  5.20  5.11  5.00  5.00  5.00  5.00  5.00  5.00
## [349]  5.10  5.04  5.00  5.10  5.00  5.00  5.00  4.90  4.70  4.70  4.50  4.50
## [361]  4.50  4.50  4.41  4.40  4.49  4.40

Plot

plot given year temp dist vs baseline 90th

## `summarise()` has grouped output by 'Month'. You can override using the
## `.groups` argument.
## Warning: Removed 1 row containing missing values or values outside the scale range
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plot all year temp in grey vs baseline

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Analyze the hw

hw dist for certain 1 year

prepare for the data

## # A tibble: 77 × 7
##    Month   Day Percentile_90 MAX_TEMP_YEAR DayOfYear Condition Cumulative_Count
##    <int> <int>         <dbl>         <dbl>     <dbl> <lgl>                <dbl>
##  1     1     3          4.3            5.3         3 TRUE                     1
##  2     1     4          4.36          12           4 TRUE                     2
##  3     1     5          4.4            7.6         5 TRUE                     3
##  4     1     6          4.5            8.7         6 TRUE                     4
##  5     1    10          4.8            5.7        10 TRUE                     1
##  6     1    11          5              5.8        11 TRUE                     2
##  7     1    12          5              5.5        12 TRUE                     3
##  8     1    18          5.18           5.3        18 TRUE                     1
##  9     1    19          5.17          11          19 TRUE                     2
## 10     1    27          5.9           11.4        27 TRUE                     1
## # ℹ 67 more rows

plot hw analysis for all year

plot overall count of hw through years

plot for heat map

examine specific year

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